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Abstract

Purpose. To evaluate the relationship between menstrual cycle irregularity and several key variables, and to determine whether the odds of diabetic women self-reporting menstrual cycle irregularities is greater than non-diabetic women self-reporting menstrual cycle irregularities.

Methods. A cross-sectional study was conducted using data from the Kentucky Women’s Health Registry from 2006 to 2014. The data was restricted based on age (used as a proxy for menopause status) and self-reported pregnancy and breastfeeding status, as well as eligibility to menstruate, yielding a final population of 4,256 participants for analysis. Basic statistical frequency analyses were conducted, stratified by menstrual cycle status. Bivariate analyses were conducted on the data to estimate odds ratios for menstrual irregularities based on diabetes status and adjusting for confounders. A logistic regression analysis was performed to estimate the adjusted odds women with diabetes reporting menstrual cycle irregularities.

Conclusion. Results indicate a consistent relationship in self-reported menstrual cycle irregularities among diabetic women when compared with non-diabetic women. In the expanded diabetes variable model, type II diabetes controlled by diet only was significantly associated with menstrual cycle irregularities, though small numbers necessitate cautious interpretation. Multicollinearity, skewing, and bias could be impacting the results. Further analysis is needed to determine the relationship of diabetes and menstrual cycle irregularities in adult women.